Job Search Results for machine learning

Insight Global is seeking a Data Scientist to support one of our largest telecom customers' Internet Product team. This role is heavily focused on building and deploying machine learning models that... More drive business decisions across outage detection, customer segmentation, and product rollout strategy.The majority of the work will involve hands-on statistical modeling and data preparation, leveraging large internal and third-party datasets. A strong emphasis is placed on machine-learning-driven insights, particularly around detecting outages, identifying competitive performance gaps, and classifying customer usage behaviors. There will be a portion of this role that encompasses ad-hoc requests which will require creative and critical thinking for solutioning. Pay Range: $60-67We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.Less

A fortune 100 company is seeking a Data Scientist for a contract to hire role that will work onsite 3 days a week in the Bengaluru India area. You will join a small and highly collaborative team that... More is responsible for rapid prototyping. To be successful, you will need to have a positive mindset, proactive problem solving mentality that strives to deliver solutions to the customer.This individual will be responsible for the following:Partner with business users and leaders in problem solving approaches and exploring business challenges that can be addressed with data science and machine learning. Learn and understand Business domain, and co-develop narratives guiding business users through ideation and estimation on solutions that drive business value.Analyze data, build statistical & machine learning models and algorithms. Improve upon existing machine learning methodologies by identifying new data sources, developing and testing model enhancements, running computational experiments, and fine-tuning model parameters for new models. Formalize assumptions about how models are expected to behave, creating definitions of outliers, developing methods to systematically identify these outliers, and explaining why they are reasonable or identifying fixes for them, and ensuring deliverables meet scope, quality and timeline targets.Proven experience and knowledge of Python, R, with strong SQL skills. Strong knowledge of visualization in Power BI & experience of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.Proven experience and knowledge of a variety of machine learning techniques (clustering, decision tree learning, etc.) along with Experience in an Azure environment highly preferred, combined with Experience working with enterprise scale databases, with demonstrated ability to independently query and prepare data for analysis.We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.Less

Insight Global Evergreen is seeking a talented Data Scientist to join our dynamic team and contribute to our data analytics and machine learning initiatives. You will be dedicated to leveraging... More data-driven insights to drive business growth and enhance customer experiences for one of our large utility clients in California. Key Responsibilities:?Data Analysis & Modeling: Utilize Python and R to analyze complex datasets, develop predictive models, and generate actionable insights.?Database Management: Manage and optimize data storage and retrieval using Snowflake, ensuring data integrity and performance.?Machine Learning: Design, implement, and evaluate machine learning algorithms to solve business problems.?Data Visualization: Create compelling visualizations to communicate findings to stakeholders using tools like Matplotlib, ggplot2, and other visualization libraries.?Collaboration: Work closely with cross-functional teams including data engineers, product managers, and business analysts to understand requirements and deliver solutions.We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.Less

Our client is seeking a Data Scientist to support the Group Insurance organization, with a focus on traditional machine learning use cases for medical and financial underwriting. This role is... More hands-on and data-driven, partnering closely with actuaries and technology teams to develop and support predictive models used in underwriting and pricing.Responsibilities- Develop and apply traditional machine learning models (classification, survival models) for underwriting and pricing use cases- Perform data extraction, cleaning, validation, and feature engineering on large datasets- Analyze data quality issues and assemble usable analytical datasets from multiple sources- Build and evaluate models using Python in an AWS cloud environment- Partner with actuaries, IT, and ML engineering teams to support model deployment and testing- Assist with troubleshooting, validation support, and research for failed test casesWe are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.Less

? Responsible for the hands-on design and development of production-grade GenAI and Agentic solutions comprising the portfolio developed by the Data Science Lead and the technical requirements... More specified. Perform hands-on context engineering, agent design, model integration, and end-to-end AI system development.? Design and build AI agent harnesses, orchestration frameworks, and context engineering pipelines; develop and integrate Model Context Protocol (MCP) servers to expose tools, data sources, and enterprise APIs to AI agents in a standardized, secure manner; and implement Agent-to-Agent (A2A) communication patterns and multi-agent architectures to solve complex, multi-step business problems.? Write production-level code and partner with machine learning engineers and platform teams to deliver AI solutions from development through production following the full AI lifecycle.? Continuously research new methods for problem solution, including new algorithms, agentic frameworks, context management techniques, and AI application patterns.? Partner with machine learning engineers to productionize AI solutions. Partner with data engineers to build data pipelines. Partner with software engineers to integrate solutions with business platforms.We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.Less

We are seeking a seasoned Machine Learning Engineer ? Computer Vision to design, optimize, and deploy deep learning models for large scale, real time edge inference. In this role, you will work on... More the end to end lifecycle of computer vision models?from training and evaluation to optimization, automated governance, and edge deployment?while advancing MLOps capabilities on Google Cloud. You will work at the intersection of deep learning, cloud infrastructure, and edge AI, building reliable, high performance solutions that scale across devices and continuously improve through automation and data driven evaluation.We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.Less

Insight Global is looking for an individual to join a top retail client within their eCommerce & Marketing department. The Senior Manager, Business Artificial Intelligence (BAI) and Data Management... More will support the implementation of AI strategy and advanced analytics operations. This role will focus on integrating AI into online (web and marketing) products, merchandising (pricing, forecasting, etc.), and Pro (loyalty, prospecting, etc.), while defining data requirements to enable analytics and AI, conducting research, and collaborating closely with data science partners.As part of a fast-paced and innovative environment, this leader will partner with the business to identify data-driven opportunities, translate business problems into AI solutions, develop an enterprise-aligned roadmap, and guide teams in best practices while evangelizing the strategic use of data across marketing, e-commerce, merchandising, and Pro.The Interconnected Analytics & Data Science team is driving a project called ?Data for All?, which focuses on consolidating all data sources across the organization to a single source. This leader will lead the project, and help drive adoption of AI and machine learning platforms throughout the business. Key ResponsibilitiesBusiness AI Insights?Identify opportunities to apply AI to key business processes (e.g., churn prediction, search optimization, recommendation engines).?Drive AI integrations into new and existing digital features to enhance user experience and competitiveness.?Lead data science teams through the full AI product lifecycle, from ideation to launch, ensuring delivery and ROI.?Streamline the transition of AI and analytics initiatives from development to production.Generative AI Adoption?Champion research and experimentation to advance generative AI use cases, in partnership with the U.S. data science teams.?Foster a culture of continuous learning and innovation around Generative AI across marketing, merchandising, and Pro.Data Management?Oversee digital marketing tagging strategy and Adobe Analytics implementation for web and campaign analytics.?Lead data engineering teams responsible for data quality, governance, and consistency.?Partner closely with IT to ensure appropriate stewardship, security, scalability, and governance of data assets.?Ensure AI solutions meet ethical and regulatory standards and continuously evaluate system performance.Leadership & Team Management?Serve as a subject matter expert in supervised and unsupervised ML techniques and applied AI.?Establish strong big data foundations to support machine learning initiatives.?Influence without direct authority and drive alignment across adjacent analytics and data teams.?Mentor and develop data scientists and junior AI talent.?Stay current on AI and industry trends and propose roadmaps aligned with marketing and e-commerce strategy.We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.Less

Day to day:? Partner with the Field Engineering Enablement team to design and create technical training programs focused on the clients products products for both internal and external audiences. ?... More Create end-to-end, product-centric training content that teaches users how to effectively use the software, including hands-on product usage, learning paths, and badge-aligned coursework. ? Translate Training Requirements Documents (TRDs) into detailed course outlines, storyboards, and complete instructional content. ? Build training materials from scratch, including visual assets, technical demonstrations, and recorded instructional content, ensuring clarity and technical accuracy.? Record technical walkthroughs and product demos; collaborate with post-production teams who handle final editing and processing. ? Design and implement interactive learning elements, requiring hands-on use of technical tools, instructional platforms, and light coding to enhance learner engagement. ? Apply working knowledge of the product as a technology platform to ensure training reflects real-world usage and best practices. ? Develop and validate technical examples and exercises using SQL and Python, aligned to how users interact with Databricks in production environments.? Collaborate closely with engineers, enablement stakeholders, and delivery partners to ensure training content aligns with evolving product capabilities and user needs.Pay Rate: $45-55We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.Less

The Data Engineer is responsible for architecting, developing, and maintaining enterprise-scale data platforms that support analytics, operational reporting, and machine learning initiatives. This... More role requires deep technical expertise in distributed systems, cloud platforms, and data modeling, combined with strong communication and leadership capabilities.Design and implement large-scale ETL/ELT pipelines using Python, Spark, and distributed processing frameworksDevelop and maintain big data infrastructure leveraging Hadoop, Spark, Kafka, and Kafka StreamsArchitect cloud-native data solutions on AWS or Azure, including serverless componentsBuild and optimize Snowflake data warehouses using dimensional modeling best practicesConduct data discovery and source analysis to support new integrations and transformationsModel complex datasets using normalized, denormalized, star, and snowflake schemasIntegrate external systems through RESTful APIs and automated ingestion frameworksImplement DevOps practices including CI/CD, containerization, and orchestrationDevelop real-time streaming applications using Kafka, Storm, Kinesis, or Pub/SubOperationalize machine learning models in collaboration with data science teamsOptimize performance across queries, pipelines, and distributed workloadsTroubleshoot and resolve complex data issues across upstream and downstream systemsMaintain comprehensive documentation for data pipelines, models, and integrationsWe are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.Less

We are seeking an experienced Data Scientist to join our clients Life Insurance Underwriting team. This role will support large-scale underwriting initiatives focused on mortality risk modeling and... More premium determination. The ideal candidate brings strong traditional data science experience, a solid foundation in statistical and machine learning techniques, and the ability to work independently in a production, business-facing environment. This is not a data engineering or GenAI-heavy role. The majority of the work will focus on classical machine learning and statistical modeling using structured health and insurance data. Key ResponsibilitiesDevelop, validate, and maintain machine learning and statistical models to support life insurance underwriting decisionsAnalyze and model health and demographic data to assess mortality risk and premium outcomesTranslate underwriting and business requirements into analytical solutionsPartner with underwriters, analysts, and stakeholders to interpret model outputs and findingsConduct exploratory data analysis, feature engineering, and model performance evaluationDocument methodologies, assumptions, and results in a clear and structured mannerContribute to model lifecycle activities including monitoring and refinementOperate independently while collaborating effectively within a broader analytics teamWe are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.Less